Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)

dc.contributor.author	Alpaydin, Ethem	en_US
dc.date.accessioned	2017-08-30T08:10:25Z
dc.date.available	2017-08-30T08:10:25Z
dc.date.issued	2010	en_US
dc.identifier.isbn	026201243X	en_US
dc.identifier.isbn	9780262012430	en_US
dc.identifier.other	HPU5160432	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/26580
dc.description.abstract	I've read several parts of chapters which concerned my work and skimmed other chapters faster. This book should serve as a starting point and mostly as a quick introduction in a subject. However, i've found this book to be useful in other way - it is compact and I found several basic reasonements and assumptions quickly to base my conclusions in work i was doing. Also i like the style where key-words appear outside the text where they can be easily spotted and also the references at the end of each chapter.	en_US
dc.format.extent	579 p.	en_US
dc.format.mimetype	application/pdf	en_US
dc.language.iso	en	en_US
dc.publisher	The MIT Press	en_US
dc.subject	Machine Learning	en_US
dc.subject	Adaptive Computation	en_US
dc.subject	Computational Mathematicsematics	en_US
dc.title	Introduction to Machine Learning, Second Edition (Adaptive Computation and Machine Learning)	en_US
dc.type	Book	en_US
dc.size	3,607Kb	en_US
dc.department	Technology	en_US